摘要
介绍了渐近辨识法在某1000 MW火电机组脱硝控制优化建模中的应用。在SCR(选择性催化还原)原常规PID闭环控制系统正常运行的情况下,采用ASYM(基于渐近辨识方法)通过在SCR装置的喷氨量指令上叠加测试信号,在不干扰SCR装置正常运行的前提下,辨识获取了高精度SCR控制模型,并以此为基础搭建MPC控制器,大大改进了SCR反应器出口NOX浓度的控制品质。
This paper introduces the application of the progressive identification method in the modelling of SCR control optimization for 1000 MW thermal generating power units.In the case of the normal operation of the original PID closed-loop control system in SCR(selective catalytic reduction),the ASYM(asymptotic)identification method is adopted to superposing testing signals on ammonia injection amount orders.Without interfering with the normal operation of the SCR device,a high-precision SCR control model is identified and acquired.The MPC controller constructed by this model greatly improves the control quality of the NOX concentration at the outlet of the SCR reactor.
作者
蒋雄杰
顾奇凯
黄启东
孙成富
冯晓露
蒋鹏飞
JIANG Xiongjie;GU Qikai;HUANG Qidong;SUN Chengfu;FENG Xiaolu;JIANG Pengfei(Zhejiang Provincial Energy Group Jiahua Power Generation Co.,Ltd.,Jiaxing Zhejiang 314000,China;College of Energy Engineering,Zhejiang University,Hangzhou 310027,China)
出处
《浙江电力》
2020年第1期110-114,共5页
Zhejiang Electric Power
基金
浙江省能源集团有限公司技改项目（11233017041）
关键词
渐近辨识法
1000
MW火电机组
高精度SCR动态模型
SCR控制系统优化
SCR出口NOX浓度
progressive identification method
1000 MW thermal power generating unit
high-precision SCR dynamic modelling
optimization of SCR control system
SCR outlet NOX concentra
